Abstract
In this letter, we focus on large intelligent reflecting surfaces (IRSs) and propose a new codebook construction method to obtain a set of predesigned phase-shift configurations for the IRS unit cells. Since the overhead for channel estimation and the complexity of online optimization for IRS-assisted communications scale with the size of the phase-shift codebook, the design of small codebooks is of high importance. We show that there exists a fundamental tradeoff between power efficiency and the size of the codebook. We first analyze this tradeoff for baseline designs that employ a linear phase-shift across the IRS. Subsequently, we show that an efficient design for small codebooks mandates higher-order phase-shift variations across the IRS. Consequently, we propose a quadratic phase-shift design, derive its coefficients as a function of the codebook size, and analyze its performance. Our simulation results show that the proposed design yields a higher power efficiency for small codebooks than the linear baseline designs.
Original language | English (US) |
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Article number | 9350282 |
Pages (from-to) | 2048-2052 |
Number of pages | 5 |
Journal | IEEE Communications Letters |
Volume | 25 |
Issue number | 6 |
DOIs | |
State | Published - Jun 2021 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Modeling and Simulation
- Computer Science Applications
- Electrical and Electronic Engineering
Keywords
- Intelligent reflecting surfaces
- channel estimation overhead
- complexity
- phase-shift design
- power efficiency